neural network classifier

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks ICLR 2025 ISACL: Internal State Analyzer for Copyrighted Training Data Leakage EMNLP 2025 Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024 WeiPer: OOD Detection using Weight Perturbations of Class Projections NeurIPS 2024 Adaptive Image Anonymization in the Context of Image Classification with Neural Networks ICCV 2023 Contrastive Classification and Representation Learning with Probabilistic Interpretation AAAI 2023 Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns CVPR 2023 Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NeurIPS 2023 Enhancing Adversarial Robustness via Score-Based Optimization NeurIPS 2023 Machine learning detects terminal singularities NeurIPS 2023 Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023 Accelerating Certified Robustness Training via Knowledge Transfer NeurIPS 2022 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NeurIPS 2022 Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data COLT 2022 Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers NeurIPS 2022 Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022 Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios ICLR 2022 Reconstructing Training Data From Trained Neural Networks NeurIPS 2022 Understanding Square Loss in Training Overparametrized Neural Network Classifiers NeurIPS 2022 Automatic Severity Classification of Korean Dysarthric Speech Using Phoneme-Level Pronunciation Features Interspeech 2021 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021 Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems AISTATS 2021 Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020